---
title: "Sina Zarrieß — author profile and papers"
description: "Sina Zarrieß, Bielefeld University: 8 papers on Elamur Research (2011–2026), h-index 13 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/sina-zarriess/"
---
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# Sina Zarrieß

Sina Zarrieß has 8 papers in our library, in 2011–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Psycholinguistics & language acquisition](https://md.research.elamur.ai/free/en/topics/psycholinguistics/), [Implicature](https://md.research.elamur.ai/free/en/topics/implicature/); often with [Jonas Kuhn](https://md.research.elamur.ai/free/en/authors/jonas-kuhn/), [Judith Sieker](https://md.research.elamur.ai/free/en/authors/judith-sieker/), [Omar Momen](https://md.research.elamur.ai/free/en/authors/omar-momen/). 4 of them are among the papers [Mova](https://md.research.elamur.ai/free/en/projects/mova/) reads.

8 papers in our library · 2011–2026

[OpenAlex](https://openalex.org/A5078051602) · [ORCID](https://orcid.org/0000-0002-1384-1218) · [Wikidata](https://www.wikidata.org/wiki/Q126367542) · [**h-index 13**](https://openalex.org/authors/A5078051602) · [161 works](https://openalex.org/works?filter=author.id:A5078051602) · [479 citations](https://openalex.org/works?filter=author.id:A5078051602&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/sina-zarriess/#papers) · [🔗 68 citations in our library](https://md.research.elamur.ai/free/en/authors/sina-zarriess/cited-by/) · [15 more in our library without a page yet](#also) · [⭐ Paper Star rank #4261](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4261)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Sina+Zarrie%C3%9F) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sina+Zarrie%C3%9F) · [dblp](https://dblp.org/search?q=Sina+Zarrie%C3%9F) · [ACL Anthology](https://aclanthology.org/search/?q=Sina+Zarrie%C3%9F)

## Affiliations

[🎓**Bielefeld University** Bielefeld · Germany 2015–2026 · 109 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/bielefeld-university/) · [🎓**University of Stuttgart** Stuttgart · Germany 2010–2013 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-stuttgart/) · [🎓**University of Potsdam** Potsdam · Germany 2006–2010 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-potsdam/) · [🎓**Friedrich Schiller University Jena** Jena · Germany 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/friedrich-schiller-university-jena/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Topics

[Language models & pretraining (3)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Psycholinguistics & language acquisition (3)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Implicature (2)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Idioms & multiword expressions (2)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/sina-zarriess/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/sieker-2023-when-your-language-model-cannot/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/zarriess-2019-know-what-you-don-t/) · [**2012** 1 paper](https://md.research.elamur.ai/free/en/papers/bohnet-2012-generating-non-projective-word-order/) · [**2011** 1 paper](https://md.research.elamur.ai/free/en/papers/zarriess-2011-underspecifying-predicting-voice-surface-realisation/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories](https://md.research.elamur.ai/free/en/papers/zarriess-2019-know-what-you-don-t/)** *(2019 · 24 citations)* A speaker must refer to an object in an image whose category the speaker does not know, for example a bus when only cars were seen in training.
2. **[Generating Non-Projective Word Order in Statistical Linearization](https://md.research.elamur.ai/free/en/papers/bohnet-2012-generating-non-projective-word-order/)** *(2012 · 23 citations)* A projective linearizer can only produce word orders in which no two edges cross, and many languages need crossings.
3. **[Underspecifying and Predicting Voice for Surface Realisation Ranking](https://md.research.elamur.ai/free/en/papers/zarriess-2011-underspecifying-predicting-voice-surface-realisation/)** *(2011 · 11 citations)* The authors regenerate German corpus sentences with a reversible LFG grammar and a ranker that chooses among the candidate realisations.
4. **[When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle](https://md.research.elamur.ai/free/en/papers/sieker-2023-when-your-language-model-cannot/)** *(2023 · 9 citations)* The paper asks whether masked language models follow the Maximize Presupposition! principle (MP!), which says a speaker should use the presuppositionally stronger of two alternatives when both are true: "the" over "a" when there is exactly one item, and "both" over "all" for two items.
5. **[Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models](https://md.research.elamur.ai/free/en/papers/askari-2025-are-babylms-deaf-gricean-maxims/)** *(2025 · 4 citations)* The authors test whether language models trained on small amounts of data (BabyLM) can detect violations of Grice's conversational maxims.
6. **[Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets](https://md.research.elamur.ai/free/en/papers/momen-2026-surprisal-metaphor-novelty-judgments-moderate/)** *(2026 · 1 citation)* The paper asks whether surprisal from language models can serve as a measure of how novel a metaphor is. Separating creative metaphors from conventionalized ones is difficult even for human annotators. The authors computed surprisal on metaphor-related words with 16 causal LM variants of different sizes, including…
7. **[Child-directed speech facilitates production, not comprehension, in BabyLMs](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/)** *(2026)* Previous studies of BabyLM models, that is, language models trained on an amount of data comparable to a child's experience, have mostly found no benefit from child-directed speech (CDS).
8. **[The Frequency Confound in Language-Model Surprisal and Metaphor Novelty](https://md.research.elamur.ai/free/en/papers/momen-2026-frequency-confound-language-model-surprisal/)** *(2026)* Researchers often treat language-model surprisal as a measure of how predictable a word is in context, and earlier work found that it tracks human judgments of metaphor novelty.

## Also in our library

15 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Jonas Kuhn](https://md.research.elamur.ai/free/en/authors/jonas-kuhn/) ×2
- [Judith Sieker](https://md.research.elamur.ai/free/en/authors/judith-sieker/) ×2
- [Omar Momen](https://md.research.elamur.ai/free/en/authors/omar-momen/) ×2
- [Anders Björkelund](https://md.research.elamur.ai/free/en/authors/anders-bjorkelund/)
- [Aoife Cahill](https://md.research.elamur.ai/free/en/authors/aoife-cahill/)
- [Bastian Bunzeck](https://md.research.elamur.ai/free/en/authors/bastian-bunzeck/)
- [Bernd Bohnet](https://md.research.elamur.ai/free/en/authors/bernd-bohnet/)
- [David Schlangen](https://md.research.elamur.ai/free/en/authors/david-schlangen/)
- [Wolfgang Seeker](https://md.research.elamur.ai/free/en/authors/wolfgang-seeker/)

## Cited by

Papers of our library cite their works 68 times (of the 140,884 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sina-zarriess/cited-by/).